Diviyan Kalainathan - researchr alias

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Viewing Publication 1 - 6 from 6

2022

Structural Agnostic Modeling: Adversarial Learning of Causal GraphsDiviyan Kalainathan, Olivier Goudet, Isabelle Guyon, David Lopez-Paz, Michèle Sebag. jmlr, 23, 2022. [doi]

2020

Causal Discovery Toolbox: Uncovering causal relationships in PythonDiviyan Kalainathan, Olivier Goudet, Ritik Dutta. jmlr, 21, 2020. [doi]

2019

Learning Bivariate Functional Causal ModelsOlivier Goudet, Diviyan Kalainathan, Michèle Sebag, Isabelle Guyon. In Isabelle Guyon, Alexander R. Statnikov, Berna Bakir Batu, editors, Cause Effect Pairs in Machine Learning. pages 101-153, Springer, 2019. [doi]

Evaluation Methods of Cause-Effect PairsIsabelle Guyon, Olivier Goudet, Diviyan Kalainathan. In Isabelle Guyon, Alexander R. Statnikov, Berna Bakir Batu, editors, Cause Effect Pairs in Machine Learning. pages 27-99, Springer, 2019. [doi]

Generative Neural networks to infer Causal Mechanisms: Algorithms and applications. (Réseaux de Neurones Génératifs pour la Découverte de Mécanismes Causaux: Algorithmes et Applications)Diviyan Kalainathan. PhD thesis, University of Paris-Sud, Orsay, France, 2019. [doi]

Discriminant Learning MachinesDiviyan Kalainathan, Olivier Goudet, Michèle Sebag, Isabelle Guyon. In Isabelle Guyon, Alexander R. Statnikov, Berna Bakir Batu, editors, Cause Effect Pairs in Machine Learning. pages 155-189, Springer, 2019. [doi]

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